宿菲，教授，博士研究生,硕士生导师。
办公地址：生物信息科学与技术学院
E-mail：sufei0999@ems.hrbmu.edu.cn
联系方式：13845101280
主要研究方向
单细胞测序；转录调控机制研究
个人简介
宿菲，教授、博士研究生、硕士生导师。自2003年工作以来，一直工作于哈尔滨医科大学，承担信息论、模式识别、Python、专业外语、高等数学、留学生微积分及数据挖掘7门次课程，年均授课172学时，指导学生参加美国大学生数学建模竞赛并取得优异的成绩；主持国家自然科学基金项目1项，中国博士后科学基金1项，黑龙江省自然科学基金1项，黑龙江省博士后基金3项，厅局级课题5项，共发表SCI收录论文30余篇，其中第一作者SCI论文10余篇。拟招收计算机相关专业毕业的硕士研究生。
教育经历
1.2019年-2020年 美国 西奈山医学院 生物信息实验室 博士后
研究方向：单细胞测序、人工智能医学图像处理
2.2014年-2017年 哈尔滨医科大学 博士 生物医学工程专业
研究方向：癌症转录因子、microRNA转录调控机制研究
3.2005年-2008年 哈尔滨医科大学 硕士 生物医学工程专业
研究方向：癌症转录因子转录调控机制研究
4.1999年-2003年 哈尔滨理工大学 学士
专业：电子信息工程
工作经历
2022年9月-至今 哈尔滨医科大学 生物信息科学与技术学院 生物信息教研室 教授
2019年8月-2020年8月 美国 西奈山医学院 博士后
2016年9月-2022年9月 哈尔滨医科大学 生物信息科学与技术学院 生物信息教研室 副教授
2008年9月-2016年9月 哈尔滨医科大学 生物信息科学与技术学院 生物信息教研室 讲师
2003年7月-2008年9月 哈尔滨医科大学 助教
主持科研项目（部分）
1.主持 国家自然科学基金恶性肿瘤竞争性转录调控三元组（TF-lncRNA/miRNA）识别及其功能研究（61801151）
2.主持中国博士后科学基金面上项目癌症新型临床标记物（TF-lncRNA/miRNA）识别及研究（2019M651298）
3.主持黑龙江省自然科学基金从组织到细胞恶性肿瘤竞争性转录调控三元组识别及作用机制研究（LH2021F053）
4.主持黑龙江省博士后面上基金恶性肿瘤竞争性转录调控三元组（TF-lncRNA/miRNA）识别及临床应用（LBH-Z18129）
5.主持省卫生厅 基于调控网络挖掘人类乳腺癌关键基因及风险子通路（2014-418）
6.主持省教育厅 结肠癌相关基因的转录因子及其蛋白互作网络的关联研究（11531218）
7.主持省卫生厅TGF-β通路对结肠癌的影响及调控机制的研究（2012-807）
8.主持省卫生厅 结肠癌相关基因转录因子及其调控机制的研究（2006-280）
主持教学项目
主持省教育厅 “团队合作项目教学法”在生物信息专业毕业设计中的应用（JG2014010880）
指导学生获奖
2023年美国大学生数学建模国际二等奖2项
2022年美国大学生数学建模国际二等奖1项
发表SCI论文（部分）
1.Fei Su, Yueyang Liu, Yonghua Zong, Ziyu Gao, Guiqin Zhou, Chao Deng, Yuyu Liu, Yue Zeng, Xiaoyan Ma, Yongxia Wang, Yinwei Wu3, Fusheng Xu, Lili Guan, Baoquan Liu. Identification of circulating miRNA as early diagnostic molecular markers in malignant glioblastoma base on decision tree joint scoring algorithm.Journal of Cancer Research and Clinical Oncology (2023) 149:17823–17836
2.Fei Su,Ziyu Gao,Yueyang Liu,Guiqin Zhou,Wei Gao,Chao Deng,Yuyu Liu,Yihao Zhang,Xiaoyan Ma,Yongxia Wang,Lili Guan,Yafang Zhang,Baoquan Liu.Prioritizing key synergistic circulating microRNAs for the early diagnosis of biliary tract cancer. Front Oncol. 2022 Oct 6;12:968412.
3.Fei Su,Ziyu Gao,Yueyang Liu,Guiqin Zhou,Ying Cui,Chao Deng,Yuyu Liu,Yihao Zhang,Xiaoyan Ma,Yongxia Wang,Lili Guan,Yafang Zhang,Baoquan Liu. Genes (Basel).Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications. 2022 Oct 24;13(11):1931.
4.B Liu，F Su，X Lv，W Zhang，X Shang，Y Zhang. Serum microRNA-21 predicted treatment outcome and survival in HER2- positive breast cancer patients receiving neoadjuvant chemotherapy combined with trastuzumab. Cancer Chemotherapy and Pharmacology ISSN 0344-5704 Volume 84 Number 5 Cancer Chemother Pharmacol (2019) 84:1039-1049 DOI 10.1007/s00280-019-03937-9.
5.Su F, Shang D, Xu Y, Feng L, Yang H, Liu B, Su S, Chen L, Li X. Cofunctional Subpathways Were Regulated by Transcription Factor with Common Motif,Common Family, or Common. Biomed Res Int.,2015.11.24,780357(doi:10.1155/2015/7).
6.You K,Su F, Liu L, Lv X, Zhang J, Zhang Y, Liu B. SCARA5 plays a critical role in the progression and metastasis of breast cancer by inactivating the ERK1/2, STAT3, and AKT signaling pathways.Mol Cell Biochem. 2017, 435(1-2): 47-58.
7.Liu B,Su F, Chen M, Li Y, Qi X, Xiao J, Li X, Liu X, Liang W, Zhang Y, Zhang J. Serum miR-21 and miR-125b as markers predicting neoadjuvant chemotherapy response and prognosis in stage II/III breast canc.Hum Pathol. 2017, 64: 44-52.
8.Liu B,Su F,Li Y, Qi X, Liu X, Liang W, You K, Zhang Y, Zhang J. Changes of serum miR34a expression during neoadjuvant chemotherapy predict the treatment response and prognosis in stage II/III breast cancer. Biomed Pharmacother. 2017, 88: 911-917.
9.Su F, Li X, You K, Chen M, Xiao J, Zhang Y, Ma J, Liu B. Expression of VEGF-D, SMAD, and SMAD7 and Their Relationship with Lymphangiogenesisand Prognosis in Colon Cancer. J Gastrointest Surg. 2016, 20(12): 2074-2082.
10.Su F, Liu B, Chen M, Xiao J, Li X, Lv X, Ma J, You K, Zhang J, Zhang Y. Association between VEGF-A, C and D expression and lymph node involvement in breast cancer: a meta-analysis.Int J Biol Markers. 2016, 31(3): e235-44
11.Han J, Liu S, Jiang Y, Xu C, Zheng B, Jiang M, Yang H,Su F, Li C, Zhang Y. Inference of patient-specific subpathway activities reveals a functional signature associated with the prognosis of patients with breast cancer. J Cell Mol Med. 2018 Jul 4. doi: 10.1111/jcmm.13720.
12.Haixiu Yang, Desi Shang, Yanjun Xu, Chunlong Zhang, Li Feng, Zeguo Sun, Xinrui Shi, Yunpeng Zhang, Junwei Han,Fei Su, Chunquan Li, Xia Li.The LncRNA Connectivity Map: Using LncRNA Signatures to Connect Small Molecules, LncRNAs and Diseases.Sci Rep. 2017; 7: 6655. 2017 Jul 27. doi: 10.1038/s41598-017-06897-3.
13.Yanjun Xu, Haixiu Yang, Tan Wu, Qun Dong, Zeguo Sun, Desi Shang, Feng Li, Yingqi Xu,Fei Su, Siyao Liu, Yunpeng Zhang, Xia Li.BioM2MetDisease: a manually curated database for associations between microRNAs, metabolites, small molecules and metabolic diseases.Database(Oxford) 2017 2017 May12. doi: 10.1093/database/bax037.
14.Fan Zhang, Chunyan Ren, Hengqiang Zhao, Lei Yang,Fei Su, Ming-Ming Zhou, Junwei Han, Eric A. Sobie, Martin J. Walsh.Identification of novel prognostic indicators for triple-negative breast cancer patients through integrative analysis of cancer genomics data and protein interactome data.Oncotarget. 2016 Nov 1; 7(44): 71620–71634.
15.Han J, Liu S, Sun Z, Zhang Y, Zhang F, Zhang C, Shang D, Yang H,Su F, Xu Y, Li C, Ren H, Li X.LncRNAs2Pathways: Identifying the pathways influenced by a set of lncRNAs of interest based on a global network propagation method.Sci Rep. 2017 Apr 20;7:46566.
16.Li S,Xu Y,Sun Z,Feng L,Shang D,Zhang C,Shi X,Han J;Su F,Yang H,Zhao J,Song C,Zhang Y,Li C,Li X.Identification of a lncRNA involved functional module for esophageal cancer subtypes.Mol Biosyst, 2016.10.18, 12(11):3312-3323.
17.Shi Xinrui,XuYanjun,Zhang Chunlong,Feng Li,Sun Zeguo,Hang Junwei,Su Fei,Zhang Yunpeng,Li.Subpathway-LNCE: Identify dysfunctional subpathways competitively regulated by lncRNAs through integrating lncRNAmRNA expression profile and pathway topologies. Oncotarget, 2016.9.13, 7(43): 69857~69870.
18.Han J，Li C，Yang H，Xu Y，Zhang C，Ma J，Shi X，Liu W，Shang D，Yao Q，Zhang Y，Su F，Feng L，Li X.A novel dysregulated pathway-identification analysis based on global influence of within-pathway effects and crosstalk between pathways. J R Soc Interface.,12(102, 2015/1/6.
19.Han J，Shi X，Zhang Y，Xu Y，Jiang Y，Zhang C，Feng L，Yang H，Shang D，Sun Z，Su Fei，Li Chun quan，Li Xia.ESEA Discovering the Dysregulated Pathways based on Edge Set Enrichment Analysis.Sci Rep., 5:13044(5:13044), 2015/8/12.
20.Qianlan Yao, Yanjun Xu, Haixiu Yang, Desi Shang, Chunlong Zhang, Yunpeng Zhang, Zeguo Sun, Xinrui Shi, Li Feng, Junwei Han,Fei Su, Chunquan Li, Xia Li.Global Prioritization of Disease Candidate Metabolites Based on a Multi-omics Composite Network.Sci Rep. 2015; 5: 17201.2015 Nov 24. doi: 10.1038/srep17201.
21.Zhang Y，Liu W，Xu Y，Li C，Wang Y，Yang H，Zhang C，Su F，Li Y，Li X. Identification of Subtype Specific miRNA-mRNA Functional Regulatory Modules in Matched miRNA-mRNA Expression Data Multiple Myeloma as a Case.Biomed Res Int., 2015; 2015:501262(2015;2015:501262), 2015/3/19.
22.Feng L,Xu Y,Zhang Y,Sun Z,Han J,Zhang C,Yang H,Shang D;Su F,Shi X,Li S,Li C,Li X.Subpathway-GMir Identifying miRNA-mediated metabolic subpathways by integrating condition-specific genes, microRNAs,and pathway topologies.Oncotarget., 2015.11.7, 6(36).
23.Shang D,Yang H,Xu Y,Yao Q,Zhou W,Shi X,Han J;Su F,Su B,Zhang C,Li C,Li X.A global view of network of lncRNAs and their binding proteins.Mol Biosyst., 2014.12.8, 11(2).
24.Li F，Xu Y，Shang D，Yang H，Liu W，Han J，Sun Z，Yao Q，Zhang C，Ma J，Su F，Feng L，Shi X，Zhang Y，Li J，Gu Q，Li X，Li C.MPINet Metabolite Pathway Identification via Coupling of Global Metabolite Network Structure and Metabolomic Profile.Biomed Res Int., 2014;2014:325697(2014;2014:325697), 2014/6/25.
25.Shang D，Li C，Yao Q，Yang H，Xu Y，Han J，Li J，Su F，Zhang Y，Zhang C，Li D，Li X.Prioritizing Candidate Disease Metabolites Based on Global Functional Relationships between Metabolites in the Context of Metabolic Pathways.PLoS One., 9(8), 2014/8/25.
26.Li J,Li C,Han J,Zhang C,Shang D,Yao Q,Zhang Y,Xu Y,Liu W,Zhou M,Yang H;Su F,Li X.The detection of risk pathways, regulated by miRNAs, via the integration of sample-matched miRNA-mRNA pro?les and pathway structure.J Biomed Inform., 2014.2.21, 49:187-97(49:187-97)
27.Zhang F，Gao B，Xu L，Li C，Hao D，Zhang S，Zhou M，Su F，Chen X，Zhi H，Li X.Allele-Specific Behavior of Molecular Networks：Understanding Small-Molecule Drug Response in Yeast.PLoS One., 8(1), 2013/1/4.
28.Liu W,Li C,Xu Y,Yang H,Yao Q,Han J,Shang D,Zhang C;Su F,Li X,Xiao Y,Zhang F,Dai M,Li X.Topologically inferring risk-active pathways toward precise cancer classification by directed random walk.Bioinformatics., 2013.7.10, 29(17)
